External pipelines · RISE project catalogue
Refine (refine.ink)
A commercial AI peer-review service that produces reviewer-grade feedback on academic papers within ~20–40 minutes by running multi-hour parallel compute jobs (~2+ hours per review). Targets four error classes: accuracy (statistical / methodological), mathematical reasoning (proof gaps, edge cases), internal consistency (text↔tables↔citations), and general rigor. Sits in the referee-simulation stage of the RISE pipeline.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by refine.ink team
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
What it does
Positions itself as enterprise-grade with explicit security and privacy commitments (SOC 2 + ISO 27001 in progress, zero-retention contracts, papers never used for training). Markets adoption by Oxford / Stanford / Yale / MIT / Caltech / Cambridge / Brown / OpenAI researchers. Closed-source commercial offering; first document free.
- Focus
- review
- Inputs
- submitted-paper-pdf
- Outputs
- referee-report, issue-list
- Architecture
- multi-agent, tool-use
- Maintained by
- refine.ink team
- Started
- 2026
Description
Data model- Discipline
- General
- Method family
- not specified
- Design
- not specified
- Research stage
- Review
- Contributors
- refine.ink team
- Usage
- not used in published research yet
- Source
- RISE project catalogue · projects/landscape · @4c17bae
- Record
- pipeline:refine-ink · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.
Bring it into the standard
A pipeline built outside E2ER can meet the standard by describing its steps as a template, attaching the floor of checks and publishing evaluation records. Its authors keep ownership and credit.